Identification and evaluation of radiographic interpretation errors among undergraduate dental students.

IF 3.8 2区 医学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Medical Education Online Pub Date : 2025-12-01 Epub Date: 2025-06-21 DOI:10.1080/10872981.2025.2521353
Dechsak Nakhapaksirat, Preeyaporn Srimawong, Natchaya Kitcharoen, Supichaya Nobnom, Tan Pitakanonda Ballapapinan
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引用次数: 0

Abstract

Radiographic interpretation among dental students remains prone to errors due to its subjective nature between individuals. This study aimed to identify types of errors in dental radiograph interpretation and explore their underlying causes. A mixed-methods design was employed, involving fifth- and sixth-year undergraduate dental students from Mahidol University. In the quantitative phase, students completed an online radiographic interpretation test via Cisco Webex Meetings. Errors that occurred during radiographic interpretation were recorded and categorized as incorrect diagnosis, false-positive, and false-negative types. Comparisons were made between the two student groups. In the qualitative phase, students participated in individual Webex interviews, during which they explained their interpretation processes and identifying errors across six radiographs. Thematic analysis was used to explore specific error types and contributing factors. The quantitative phase showed false-negative errors were the most frequent. Fifth-year students made 206 errors (7.92 ± 2.86), while sixth-year students made 172 errors (6.62 ± 3.50). A statistically significant difference was found only in incorrect diagnoses (p = 0.041), with fifth-year students making more such errors. The qualitative phase revealed six types of interpretation errors. Overlooking, inattentional blindness (IAB), and satisfaction of search (SOS) were associated with ineffective visual scanning. Recognition errors arose when abnormalities were detected but not correctly recognized. Prevalence effect and decision-making errors reflected flaws in diagnostic reasoning processes. Contributing factors included external elements (time pressure, clinical information availability, and radiographic indications) and internal elements (knowledge and experience), which affected students' interpretation performance. Interpretation errors occurred throughout different stages and were influenced by individual and contextual factors. Addressing these issues requires explicit teaching of common interpretation errors, promoting systematic search strategies, and fostering cognitive awareness. Integrating didactic content, case discussions, longitudinal training, and reflective exercises can enhance students' clinical reasoning, metacognitive skills, and diagnostic accuracy in radiographic interpretation.

牙科本科学生影像学解释错误的识别与评价。
由于个人之间的主观性质,牙科学生之间的放射学解释仍然容易出错。本研究旨在厘清牙科x光片解读错误的类型,并探讨其潜在原因。采用混合方法设计,包括来自玛希隆大学的五年级和六年级牙科本科学生。在定量阶段,学生们通过思科Webex会议完成了一项在线射线图像解释测试。在影像学解释过程中发生的错误被记录并分类为不正确诊断、假阳性和假阴性类型。对两组学生进行了比较。在定性阶段,学生们参加了单独的Webex访谈,在此期间,他们解释了他们的解释过程,并在六张x光片中识别错误。专题分析探讨了具体的错误类型和影响因素。定量阶段出现假阴性误差最多。五年级学生犯错206次(7.92±2.86)次,六年级学生犯错172次(6.62±3.50)次。只有在错误诊断方面存在统计学上的显著差异(p = 0.041),五年级学生犯的错误更多。定性阶段揭示了六种类型的解释错误。忽视、无意盲视(IAB)和搜索满意度(SOS)与视觉扫描无效相关。当检测到异常但没有正确识别时,就会出现识别错误。流行效应和决策错误反映了诊断推理过程的缺陷。影响学生口译成绩的因素包括外部因素(时间压力、临床信息可得性、影像学指征)和内部因素(知识和经验)。口译错误发生在不同的阶段,并受到个人和环境因素的影响。解决这些问题需要明确地教授常见的口译错误,促进系统的搜索策略,并培养认知意识。整合教学内容、病例讨论、纵向训练和反思练习可以提高学生的临床推理、元认知技能和放射学解释诊断的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medical Education Online
Medical Education Online EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.00
自引率
2.20%
发文量
97
审稿时长
8 weeks
期刊介绍: Medical Education Online is an open access journal of health care education, publishing peer-reviewed research, perspectives, reviews, and early documentation of new ideas and trends. Medical Education Online aims to disseminate information on the education and training of physicians and other health care professionals. Manuscripts may address any aspect of health care education and training, including, but not limited to: -Basic science education -Clinical science education -Residency education -Learning theory -Problem-based learning (PBL) -Curriculum development -Research design and statistics -Measurement and evaluation -Faculty development -Informatics/web
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